Add manager-friendly explanations and dynamic generators
main.py: - Add PDF_EXPLANATIONS dict with Romanian explanations for all report sections - Add dynamic explanation generators: - generate_indicatori_generali_explanation() - financial ratios with values - generate_indicatori_lichiditate_explanation() - liquidity ratios - generate_ciclu_cash_explanation() - cash conversion cycle - generate_solduri_clienti/furnizori_explanation() - balance summaries report_generator.py: - Add diacritics removal for PDF compatibility (Helvetica font) - Add sanitize_for_pdf() helper function - Add explanation_fill and explanation_border styles for info boxes - Enhance add_consolidated_sheet() with explanation parameter - Add merged explanation boxes with light grey background These changes complement the FORMULA column additions, providing managers with contextual explanations throughout the reports. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -5,11 +5,45 @@ Generates Excel and PDF reports from query results
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import pandas as pd
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from datetime import datetime
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from pathlib import Path
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import unicodedata
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import re
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import matplotlib
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matplotlib.use('Agg') # Non-interactive backend
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import matplotlib.pyplot as plt
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import matplotlib.ticker as ticker
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from openpyxl import Workbook
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# Romanian diacritics mapping for PDF (Helvetica doesn't support them)
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DIACRITICS_MAP = {
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'ă': 'a', 'Ă': 'A',
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'â': 'a', 'Â': 'A',
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'î': 'i', 'Î': 'I',
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'ș': 's', 'Ș': 'S',
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'ş': 's', 'Ş': 'S', # Alternative encoding
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'ț': 't', 'Ț': 'T',
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'ţ': 't', 'Ţ': 'T', # Alternative encoding
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}
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def remove_diacritics(text):
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"""Remove Romanian diacritics from text for PDF compatibility"""
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if not isinstance(text, str):
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return text
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for diacritic, replacement in DIACRITICS_MAP.items():
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text = text.replace(diacritic, replacement)
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return text
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def sanitize_for_pdf(value, max_length=None):
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"""Sanitize value for PDF: remove diacritics and optionally truncate"""
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if value is None:
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return ''
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text = str(value)
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text = remove_diacritics(text)
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if max_length and len(text) > max_length:
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text = text[:max_length-3] + '...'
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return text
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from openpyxl.styles import Font, Alignment, PatternFill, Border, Side
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from openpyxl.utils.dataframe import dataframe_to_rows
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from openpyxl.chart import BarChart, LineChart, PieChart, Reference
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@@ -47,6 +81,14 @@ class ExcelReportGenerator:
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top=Side(style='thin'),
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bottom=Side(style='thin')
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)
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# Style for manager-friendly explanations
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self.explanation_fill = PatternFill(start_color='F8F9FA', end_color='F8F9FA', fill_type='solid')
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self.explanation_border = Border(
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left=Side(style='thin', color='DEE2E6'),
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right=Side(style='thin', color='DEE2E6'),
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top=Side(style='thin', color='DEE2E6'),
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bottom=Side(style='thin', color='DEE2E6')
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)
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def add_sheet(self, name: str, df: pd.DataFrame, title: str = None, description: str = None, legend: dict = None):
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"""Add a formatted sheet to the workbook with optional legend"""
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@@ -87,7 +129,7 @@ class ExcelReportGenerator:
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start_row += 1
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if df is None or df.empty:
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ws.cell(row=start_row, column=1, value="Nu există date pentru această analiză.")
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ws.cell(row=start_row, column=1, value="Nu exista date pentru această analiză.")
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return
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# Write headers
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@@ -304,6 +346,7 @@ class ExcelReportGenerator:
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section_title = section.get('title', '')
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df = section.get('df')
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description = section.get('description', '')
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explanation = section.get('explanation', '')
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legend = section.get('legend', {})
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# Section separator
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@@ -315,7 +358,23 @@ class ExcelReportGenerator:
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cell.font = Font(bold=True, color='FFFFFF', size=11)
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start_row += 1
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# Section description
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# Manager-friendly explanation box (if provided)
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if explanation:
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# Merge cells for explanation box (columns 1-8)
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ws.merge_cells(start_row=start_row, start_column=1, end_row=start_row, end_column=8)
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cell = ws.cell(row=start_row, column=1, value=f"💡 {explanation}")
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cell.fill = self.explanation_fill
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cell.border = self.explanation_border
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cell.font = Font(size=9, color='555555')
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cell.alignment = Alignment(wrap_text=True, vertical='center')
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ws.row_dimensions[start_row].height = 40 # Taller row for wrapped text
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# Apply border to merged cells
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for col in range(1, 9):
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ws.cell(row=start_row, column=col).fill = self.explanation_fill
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ws.cell(row=start_row, column=col).border = self.explanation_border
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start_row += 1
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# Section description (technical)
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if description:
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ws.cell(row=start_row, column=1, value=description)
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ws.cell(row=start_row, column=1).font = Font(italic=True, size=9, color='666666')
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@@ -325,7 +384,7 @@ class ExcelReportGenerator:
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# Check for empty data
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if df is None or df.empty:
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ws.cell(row=start_row, column=1, value="Nu există date pentru această secțiune.")
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ws.cell(row=start_row, column=1, value="Nu exista date pentru această secțiune.")
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ws.cell(row=start_row, column=1).font = Font(italic=True, color='999999')
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start_row += 3
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continue
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@@ -457,126 +516,192 @@ class PDFReportGenerator:
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fontSize=8,
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textColor=colors.gray
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))
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# Table cell styles with word wrapping
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self.styles.add(ParagraphStyle(
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name='TableCell',
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parent=self.styles['Normal'],
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fontSize=7,
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leading=9,
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wordWrap='CJK',
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))
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self.styles.add(ParagraphStyle(
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name='TableCellBold',
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parent=self.styles['Normal'],
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fontSize=7,
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leading=9,
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fontName='Helvetica-Bold',
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))
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# Explanation style for manager-friendly text boxes
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self.styles.add(ParagraphStyle(
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name='Explanation',
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parent=self.styles['Normal'],
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fontSize=9,
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textColor=colors.HexColor('#555555'),
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backColor=colors.HexColor('#F8F9FA'),
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borderPadding=8,
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spaceBefore=5,
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spaceAfter=10,
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))
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def make_cell_paragraph(self, text, bold=False):
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"""Create a Paragraph for table cell with word wrapping"""
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style = self.styles['TableCellBold'] if bold else self.styles['TableCell']
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return Paragraph(sanitize_for_pdf(text), style)
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def add_explanation(self, text: str):
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"""Add a manager-friendly explanation box before a section"""
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# Create a table with background color to simulate a box
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explanation_para = Paragraph(sanitize_for_pdf(text), self.styles['Explanation'])
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box_table = Table([[explanation_para]], colWidths=[16*cm])
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box_table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, -1), colors.HexColor('#F8F9FA')),
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('BOX', (0, 0), (-1, -1), 0.5, colors.HexColor('#DEE2E6')),
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('TOPPADDING', (0, 0), (-1, -1), 8),
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('BOTTOMPADDING', (0, 0), (-1, -1), 8),
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('LEFTPADDING', (0, 0), (-1, -1), 10),
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('RIGHTPADDING', (0, 0), (-1, -1), 10),
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]))
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self.elements.append(box_table)
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self.elements.append(Spacer(1, 0.3*cm))
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def add_title_page(self, report_date: datetime = None):
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"""Add title page"""
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if report_date is None:
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report_date = datetime.now()
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self.elements.append(Spacer(1, 3*cm))
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self.elements.append(Paragraph(self.company_name, self.styles['CustomTitle']))
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self.elements.append(Paragraph(remove_diacritics(self.company_name), self.styles['CustomTitle']))
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self.elements.append(Spacer(1, 1*cm))
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self.elements.append(Paragraph(
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f"Raport generat: {report_date.strftime('%d %B %Y, %H:%M')}",
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self.styles['Normal']
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))
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self.elements.append(Paragraph(
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"Perioada analizată: Ultimele 12 luni",
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"Perioada analizata: Ultimele 12 luni",
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self.styles['Normal']
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))
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self.elements.append(PageBreak())
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def add_kpi_section(self, kpi_df: pd.DataFrame):
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"""Add KPI summary section"""
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self.elements.append(Paragraph("📊 Sumar Executiv - KPIs", self.styles['SectionHeader']))
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self.elements.append(Paragraph("Sumar Executiv - KPIs", self.styles['SectionHeader']))
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if kpi_df is not None and not kpi_df.empty:
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data = [['Indicator', 'Valoare', 'UM']]
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# Header row with bold style
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header_style = ParagraphStyle(
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'TableHeaderCell', parent=self.styles['Normal'],
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fontSize=9, fontName='Helvetica-Bold', textColor=colors.white
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)
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data = [[
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Paragraph('Indicator', header_style),
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Paragraph('Valoare', header_style),
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Paragraph('UM', header_style)
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]]
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for _, row in kpi_df.iterrows():
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data.append([
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str(row.get('INDICATOR', '')),
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str(row.get('VALOARE', '')),
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str(row.get('UM', ''))
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self.make_cell_paragraph(row.get('INDICATOR', '')),
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self.make_cell_paragraph(row.get('VALOARE', '')),
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self.make_cell_paragraph(row.get('UM', ''))
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])
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table = Table(data, colWidths=[8*cm, 4*cm, 2*cm])
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table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#366092')),
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('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
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('ALIGN', (0, 0), (-1, -1), 'LEFT'),
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('ALIGN', (1, 1), (1, -1), 'RIGHT'),
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('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
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('FONTSIZE', (0, 0), (-1, 0), 10),
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('VALIGN', (0, 0), (-1, -1), 'TOP'),
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('BOTTOMPADDING', (0, 0), (-1, 0), 12),
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('TOPPADDING', (0, 1), (-1, -1), 4),
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('BOTTOMPADDING', (0, 1), (-1, -1), 4),
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('GRID', (0, 0), (-1, -1), 0.5, colors.gray),
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('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.white, colors.HexColor('#f0f0f0')])
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]))
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self.elements.append(table)
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self.elements.append(Spacer(1, 0.5*cm))
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def add_alerts_section(self, alerts_data: dict):
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"""Add critical alerts section"""
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self.elements.append(Paragraph("🚨 Alerte Critice", self.styles['SectionHeader']))
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# Vânzări sub cost
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self.elements.append(Paragraph("Alerte Critice", self.styles['SectionHeader']))
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# Vanzari sub cost
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if 'vanzari_sub_cost' in alerts_data and not alerts_data['vanzari_sub_cost'].empty:
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df = alerts_data['vanzari_sub_cost']
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count = len(df)
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total_loss = df['PIERDERE'].sum() if 'PIERDERE' in df.columns else 0
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self.elements.append(Paragraph(
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f"⛔ VÂNZĂRI SUB COST: {count} tranzacții cu pierdere totală de {abs(total_loss):,.2f} RON",
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f"VANZARI SUB COST: {count} tranzactii cu pierdere totala de {abs(total_loss):,.2f} RON",
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self.styles['AlertHeader']
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))
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# Show top 5
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top5 = df.head(5)
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if not top5.empty:
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cols_to_show = ['FACTURA', 'CLIENT', 'PRODUS', 'PIERDERE']
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cols_to_show = [c for c in cols_to_show if c in top5.columns]
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if cols_to_show:
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data = [cols_to_show] + top5[cols_to_show].values.tolist()
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# Header with Paragraph
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data = [[self.make_cell_paragraph(c, bold=True) for c in cols_to_show]]
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for _, row in top5.iterrows():
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row_data = [self.make_cell_paragraph(row.get(c, '')) for c in cols_to_show]
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data.append(row_data)
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table = Table(data, colWidths=[3*cm, 4*cm, 5*cm, 2*cm])
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table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#c0392b')),
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('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
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('FONTSIZE', (0, 0), (-1, -1), 8),
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('VALIGN', (0, 0), (-1, -1), 'TOP'),
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('TOPPADDING', (0, 0), (-1, -1), 4),
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('BOTTOMPADDING', (0, 0), (-1, -1), 4),
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('GRID', (0, 0), (-1, -1), 0.5, colors.gray),
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]))
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self.elements.append(table)
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# Clienți cu marjă mică
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# Clienti cu marja mica
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if 'clienti_marja_mica' in alerts_data and not alerts_data['clienti_marja_mica'].empty:
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df = alerts_data['clienti_marja_mica']
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count = len(df)
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self.elements.append(Spacer(1, 0.3*cm))
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self.elements.append(Paragraph(
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f"⚠️ CLIENȚI CU MARJĂ MICĂ (<15%): {count} clienți necesită renegociere",
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f"CLIENTI CU MARJA MICA (<15%): {count} clienti necesita renegociere",
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self.styles['AlertHeader']
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))
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top5 = df.head(5)
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if not top5.empty:
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cols_to_show = ['CLIENT', 'VANZARI_FARA_TVA', 'PROCENT_MARJA']
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cols_to_show = [c for c in cols_to_show if c in top5.columns]
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if cols_to_show:
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data = [cols_to_show]
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# Header with Paragraph
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data = [[self.make_cell_paragraph(c, bold=True) for c in cols_to_show]]
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for _, row in top5.iterrows():
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data.append([
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str(row.get('CLIENT', ''))[:30],
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f"{row.get('VANZARI_FARA_TVA', 0):,.0f}",
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f"{row.get('PROCENT_MARJA', 0):.1f}%"
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self.make_cell_paragraph(row.get('CLIENT', '')),
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self.make_cell_paragraph(f"{row.get('VANZARI_FARA_TVA', 0):,.0f}"),
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self.make_cell_paragraph(f"{row.get('PROCENT_MARJA', 0):.1f}%")
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])
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table = Table(data, colWidths=[6*cm, 3*cm, 2*cm])
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table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#e67e22')),
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('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
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('FONTSIZE', (0, 0), (-1, -1), 8),
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('VALIGN', (0, 0), (-1, -1), 'TOP'),
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('TOPPADDING', (0, 0), (-1, -1), 4),
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('BOTTOMPADDING', (0, 0), (-1, -1), 4),
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('GRID', (0, 0), (-1, -1), 0.5, colors.gray),
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]))
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self.elements.append(table)
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self.elements.append(Spacer(1, 0.5*cm))
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def add_chart_image(self, fig, title: str):
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"""Add a matplotlib figure as image"""
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self.elements.append(Paragraph(title, self.styles['SectionHeader']))
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self.elements.append(Paragraph(remove_diacritics(title), self.styles['SectionHeader']))
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# Save figure to buffer
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buf = io.BytesIO()
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fig.savefig(buf, format='png', dpi=150, bbox_inches='tight')
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fig.savefig(buf, format='png', dpi=200, bbox_inches='tight')
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buf.seek(0)
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# Add to PDF
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@@ -587,60 +712,60 @@ class PDFReportGenerator:
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plt.close(fig)
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def add_table_section(self, title: str, df: pd.DataFrame, columns: list = None, max_rows: int = 15):
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"""Add a data table section"""
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self.elements.append(Paragraph(title, self.styles['SectionHeader']))
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"""Add a data table section with word-wrapped cells"""
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self.elements.append(Paragraph(remove_diacritics(title), self.styles['SectionHeader']))
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if df is None or df.empty:
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self.elements.append(Paragraph("Nu există date.", self.styles['Normal']))
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self.elements.append(Paragraph("Nu exista date.", self.styles['Normal']))
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return
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# Select columns
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if columns:
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cols = [c for c in columns if c in df.columns]
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else:
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cols = list(df.columns)[:6] # Max 6 columns for PDF
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if not cols:
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return
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# Prepare data
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data = [cols]
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# Prepare data with Paragraph cells for word wrapping
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data = [[self.make_cell_paragraph(c, bold=True) for c in cols]]
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for _, row in df.head(max_rows).iterrows():
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row_data = []
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for col in cols:
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val = row.get(col, '')
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if isinstance(val, float):
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row_data.append(f"{val:,.2f}")
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row_data.append(self.make_cell_paragraph(f"{val:,.2f}"))
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elif isinstance(val, int):
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row_data.append(f"{val:,}")
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row_data.append(self.make_cell_paragraph(f"{val:,}"))
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else:
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row_data.append(str(val)[:25]) # Truncate long strings
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row_data.append(self.make_cell_paragraph(val))
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data.append(row_data)
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# Calculate column widths
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n_cols = len(cols)
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col_width = 16*cm / n_cols
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table = Table(data, colWidths=[col_width] * n_cols)
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table.setStyle(TableStyle([
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('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#366092')),
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('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
|
||||
('ALIGN', (0, 0), (-1, -1), 'LEFT'),
|
||||
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
|
||||
('FONTSIZE', (0, 0), (-1, -1), 7),
|
||||
('BOTTOMPADDING', (0, 0), (-1, 0), 8),
|
||||
('VALIGN', (0, 0), (-1, -1), 'TOP'),
|
||||
('TOPPADDING', (0, 0), (-1, -1), 4),
|
||||
('BOTTOMPADDING', (0, 0), (-1, -1), 4),
|
||||
('GRID', (0, 0), (-1, -1), 0.5, colors.gray),
|
||||
('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.white, colors.HexColor('#f5f5f5')])
|
||||
]))
|
||||
|
||||
|
||||
self.elements.append(table)
|
||||
|
||||
|
||||
if len(df) > max_rows:
|
||||
self.elements.append(Paragraph(
|
||||
f"... și încă {len(df) - max_rows} înregistrări (vezi Excel pentru lista completă)",
|
||||
f"... si inca {len(df) - max_rows} inregistrari (vezi Excel pentru lista completa)",
|
||||
self.styles['SmallText']
|
||||
))
|
||||
|
||||
|
||||
self.elements.append(Spacer(1, 0.5*cm))
|
||||
|
||||
def add_page_break(self):
|
||||
@@ -649,7 +774,7 @@ class PDFReportGenerator:
|
||||
|
||||
def add_consolidated_page(self, page_title: str, sections: list):
|
||||
"""
|
||||
Add a consolidated PDF page with multiple sections.
|
||||
Add a consolidated PDF page with multiple sections and word-wrapped cells.
|
||||
|
||||
Args:
|
||||
page_title: Main title for the page
|
||||
@@ -660,7 +785,7 @@ class PDFReportGenerator:
|
||||
- 'max_rows': Max rows to display (default 15)
|
||||
"""
|
||||
# Page title
|
||||
self.elements.append(Paragraph(page_title, self.styles['SectionHeader']))
|
||||
self.elements.append(Paragraph(remove_diacritics(page_title), self.styles['SectionHeader']))
|
||||
self.elements.append(Spacer(1, 0.3*cm))
|
||||
|
||||
for section in sections:
|
||||
@@ -678,10 +803,10 @@ class PDFReportGenerator:
|
||||
spaceAfter=5,
|
||||
textColor=colors.HexColor('#2C3E50')
|
||||
)
|
||||
self.elements.append(Paragraph(section_title, subsection_style))
|
||||
self.elements.append(Paragraph(remove_diacritics(section_title), subsection_style))
|
||||
|
||||
if df is None or df.empty:
|
||||
self.elements.append(Paragraph("Nu există date.", self.styles['Normal']))
|
||||
self.elements.append(Paragraph("Nu exista date.", self.styles['Normal']))
|
||||
self.elements.append(Spacer(1, 0.3*cm))
|
||||
continue
|
||||
|
||||
@@ -694,18 +819,18 @@ class PDFReportGenerator:
|
||||
if not cols:
|
||||
continue
|
||||
|
||||
# Prepare data
|
||||
data = [cols]
|
||||
# Prepare data with Paragraph cells for word wrapping
|
||||
data = [[self.make_cell_paragraph(c, bold=True) for c in cols]]
|
||||
for _, row in df.head(max_rows).iterrows():
|
||||
row_data = []
|
||||
for col in cols:
|
||||
val = row.get(col, '')
|
||||
if isinstance(val, float):
|
||||
row_data.append(f"{val:,.2f}")
|
||||
row_data.append(self.make_cell_paragraph(f"{val:,.2f}"))
|
||||
elif isinstance(val, int):
|
||||
row_data.append(f"{val:,}")
|
||||
row_data.append(self.make_cell_paragraph(f"{val:,}"))
|
||||
else:
|
||||
row_data.append(str(val)[:30]) # Truncate long strings
|
||||
row_data.append(self.make_cell_paragraph(val))
|
||||
data.append(row_data)
|
||||
|
||||
# Calculate column widths
|
||||
@@ -719,9 +844,9 @@ class PDFReportGenerator:
|
||||
('BACKGROUND', (0, 0), (-1, 0), colors.HexColor('#366092')),
|
||||
('TEXTCOLOR', (0, 0), (-1, 0), colors.white),
|
||||
('ALIGN', (0, 0), (-1, -1), 'LEFT'),
|
||||
('FONTNAME', (0, 0), (-1, 0), 'Helvetica-Bold'),
|
||||
('FONTSIZE', (0, 0), (-1, -1), 7),
|
||||
('BOTTOMPADDING', (0, 0), (-1, 0), 6),
|
||||
('VALIGN', (0, 0), (-1, -1), 'TOP'),
|
||||
('TOPPADDING', (0, 0), (-1, -1), 4),
|
||||
('BOTTOMPADDING', (0, 0), (-1, -1), 4),
|
||||
('GRID', (0, 0), (-1, -1), 0.5, colors.gray),
|
||||
('ROWBACKGROUNDS', (0, 1), (-1, -1), [colors.white, colors.HexColor('#f5f5f5')])
|
||||
]
|
||||
@@ -743,7 +868,7 @@ class PDFReportGenerator:
|
||||
|
||||
if len(df) > max_rows:
|
||||
self.elements.append(Paragraph(
|
||||
f"... și încă {len(df) - max_rows} înregistrări",
|
||||
f"... si inca {len(df) - max_rows} inregistrari",
|
||||
self.styles['SmallText']
|
||||
))
|
||||
|
||||
@@ -764,11 +889,11 @@ class PDFReportGenerator:
|
||||
df_sorted = df_sorted.sort_values('_order').head(7)
|
||||
|
||||
for _, row in df_sorted.iterrows():
|
||||
status = row.get('STATUS', 'OK')
|
||||
indicator = row.get('INDICATOR', '')
|
||||
valoare = row.get('VALOARE', '')
|
||||
explicatie = row.get('EXPLICATIE', '')
|
||||
recomandare = row.get('RECOMANDARE', '')
|
||||
status = sanitize_for_pdf(row.get('STATUS', 'OK'))
|
||||
indicator = sanitize_for_pdf(row.get('INDICATOR', ''))
|
||||
valoare = sanitize_for_pdf(row.get('VALOARE', ''))
|
||||
explicatie = sanitize_for_pdf(row.get('EXPLICATIE', ''))
|
||||
recomandare = sanitize_for_pdf(row.get('RECOMANDARE', ''))
|
||||
|
||||
# Color based on status
|
||||
if status == 'ALERTA':
|
||||
@@ -819,128 +944,202 @@ class PDFReportGenerator:
|
||||
print(f"✓ PDF salvat: {self.output_path}")
|
||||
|
||||
|
||||
# Modern minimalist chart colors
|
||||
CHART_COLORS = {
|
||||
'primary': '#2C3E50', # Dark blue-gray
|
||||
'secondary': '#7F8C8D', # Gray
|
||||
'accent': '#E74C3C', # Red for alerts/negative
|
||||
'positive': '#27AE60', # Green for positive trends
|
||||
'light': '#ECF0F1', # Light background
|
||||
}
|
||||
|
||||
|
||||
def setup_chart_style():
|
||||
"""Apply modern minimalist styling to charts"""
|
||||
plt.rcParams.update({
|
||||
'font.family': 'sans-serif',
|
||||
'font.size': 10,
|
||||
'axes.titlesize': 12,
|
||||
'axes.titleweight': 'bold',
|
||||
'axes.spines.top': False,
|
||||
'axes.spines.right': False,
|
||||
'axes.grid': True,
|
||||
'grid.alpha': 0.3,
|
||||
'grid.linestyle': '--',
|
||||
'figure.facecolor': 'white',
|
||||
'axes.facecolor': 'white',
|
||||
'axes.edgecolor': '#7F8C8D',
|
||||
'xtick.color': '#7F8C8D',
|
||||
'ytick.color': '#7F8C8D',
|
||||
})
|
||||
|
||||
|
||||
def create_monthly_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
"""Create monthly sales and margin chart"""
|
||||
"""Create monthly sales chart - modern minimalist style"""
|
||||
setup_chart_style()
|
||||
if df is None or df.empty:
|
||||
fig, ax = plt.subplots(figsize=(12, 6))
|
||||
ax.text(0.5, 0.5, 'Nu există date', ha='center', va='center')
|
||||
fig, ax = plt.subplots(figsize=(12, 5))
|
||||
ax.text(0.5, 0.5, 'Nu exista date', ha='center', va='center')
|
||||
return fig
|
||||
|
||||
fig, ax1 = plt.subplots(figsize=(12, 6))
|
||||
|
||||
|
||||
fig, ax = plt.subplots(figsize=(12, 5))
|
||||
|
||||
x = range(len(df))
|
||||
|
||||
# Bar chart for sales
|
||||
bars = ax1.bar(x, df['VANZARI_FARA_TVA'], color='#366092', alpha=0.7, label='Vânzări')
|
||||
ax1.set_xlabel('Luna')
|
||||
ax1.set_ylabel('Vânzări (RON)', color='#366092')
|
||||
ax1.tick_params(axis='y', labelcolor='#366092')
|
||||
ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
# Single color bars with clean styling
|
||||
bars = ax.bar(x, df['VANZARI_FARA_TVA'], color=CHART_COLORS['primary'], alpha=0.85,
|
||||
edgecolor='white', linewidth=0.5)
|
||||
|
||||
# Line chart for margin
|
||||
ax2 = ax1.twinx()
|
||||
line = ax2.plot(x, df['MARJA_BRUTA'], color='#e74c3c', linewidth=2, marker='o', label='Marja')
|
||||
ax2.set_ylabel('Marja (RON)', color='#e74c3c')
|
||||
ax2.tick_params(axis='y', labelcolor='#e74c3c')
|
||||
ax2.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
# Add value labels on top of bars
|
||||
for bar in bars:
|
||||
height = bar.get_height()
|
||||
ax.text(bar.get_x() + bar.get_width()/2., height,
|
||||
f'{height/1000:,.0f}k', ha='center', va='bottom', fontsize=8, color='#555')
|
||||
|
||||
# X-axis labels
|
||||
ax1.set_xticks(x)
|
||||
ax1.set_xticklabels(df['LUNA'], rotation=45, ha='right')
|
||||
# Clean axis formatting
|
||||
ax.set_xlabel('Luna', fontsize=10, color='#555')
|
||||
ax.set_ylabel('Vanzari (RON)', fontsize=10, color='#555')
|
||||
ax.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
ax.set_xticks(x)
|
||||
ax.set_xticklabels(df['LUNA'], rotation=45, ha='right', fontsize=9)
|
||||
|
||||
# Legend
|
||||
lines1, labels1 = ax1.get_legend_handles_labels()
|
||||
lines2, labels2 = ax2.get_legend_handles_labels()
|
||||
ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')
|
||||
# Add subtle trend line if margin data exists
|
||||
if 'MARJA_BRUTA' in df.columns:
|
||||
ax2 = ax.twinx()
|
||||
ax2.plot(x, df['MARJA_BRUTA'], color=CHART_COLORS['accent'], linewidth=2,
|
||||
marker='o', markersize=4, label='Marja Bruta', alpha=0.8)
|
||||
ax2.set_ylabel('Marja (RON)', fontsize=10, color=CHART_COLORS['accent'])
|
||||
ax2.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
ax2.spines['right'].set_visible(True)
|
||||
ax2.spines['right'].set_color(CHART_COLORS['accent'])
|
||||
ax2.tick_params(axis='y', colors=CHART_COLORS['accent'])
|
||||
|
||||
plt.title('Evoluția Vânzărilor și Marjei Lunare')
|
||||
ax.set_title('Evolutia Vanzarilor Lunare', fontsize=12, fontweight='bold', color='#2C3E50')
|
||||
plt.tight_layout()
|
||||
|
||||
return fig
|
||||
|
||||
|
||||
def create_client_concentration_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
"""Create client concentration pie chart"""
|
||||
"""Create client concentration chart - horizontal bars (easier to read than pie)"""
|
||||
setup_chart_style()
|
||||
if df is None or df.empty:
|
||||
fig, ax = plt.subplots(figsize=(10, 8))
|
||||
ax.text(0.5, 0.5, 'Nu există date', ha='center', va='center')
|
||||
fig, ax = plt.subplots(figsize=(12, 6))
|
||||
ax.text(0.5, 0.5, 'Nu exista date', ha='center', va='center')
|
||||
return fig
|
||||
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))
|
||||
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6))
|
||||
|
||||
# Pie chart - Top 10 vs Others
|
||||
top10 = df.head(10)
|
||||
others_pct = 100 - top10['PROCENT_CUMULAT'].iloc[-1] if len(top10) >= 10 else 0
|
||||
|
||||
sizes = list(top10['PROCENT_DIN_TOTAL'])
|
||||
if others_pct > 0:
|
||||
sizes.append(others_pct)
|
||||
labels = list(top10['CLIENT'].str[:20]) # Truncate names
|
||||
if others_pct > 0:
|
||||
labels.append('Alții')
|
||||
# Left: Horizontal bar chart showing client share (cleaner than pie)
|
||||
y_pos = range(len(top10)-1, -1, -1) # Reverse for top-to-bottom
|
||||
colors = [CHART_COLORS['primary'] if pct < 25 else CHART_COLORS['accent']
|
||||
for pct in top10['PROCENT_DIN_TOTAL']]
|
||||
|
||||
colors_list = plt.cm.Set3(range(len(sizes)))
|
||||
bars = ax1.barh(y_pos, top10['PROCENT_DIN_TOTAL'], color=colors, alpha=0.85,
|
||||
edgecolor='white', linewidth=0.5)
|
||||
ax1.set_yticks(y_pos)
|
||||
ax1.set_yticklabels([c[:25] for c in top10['CLIENT']], fontsize=9)
|
||||
ax1.set_xlabel('% din Vanzari Totale', fontsize=10)
|
||||
ax1.set_title('Top 10 Clienti - Pondere Vanzari', fontsize=11, fontweight='bold')
|
||||
|
||||
ax1.pie(sizes, labels=None, colors=colors_list, autopct='%1.1f%%', startangle=90)
|
||||
ax1.set_title('Concentrare Top 10 Clienți')
|
||||
ax1.legend(labels, loc='center left', bbox_to_anchor=(1, 0.5), fontsize=8)
|
||||
# Add percentage labels
|
||||
for bar, pct in zip(bars, top10['PROCENT_DIN_TOTAL']):
|
||||
ax1.text(bar.get_width() + 0.5, bar.get_y() + bar.get_height()/2,
|
||||
f'{pct:.1f}%', va='center', fontsize=8, color='#555')
|
||||
|
||||
# Bar chart - Pareto
|
||||
ax2.bar(range(len(top10)), top10['VANZARI'], color='#366092', alpha=0.7)
|
||||
# Add 25% threshold line
|
||||
ax1.axvline(x=25, color=CHART_COLORS['accent'], linestyle='--', alpha=0.7,
|
||||
label='Prag risc 25%')
|
||||
ax1.legend(loc='lower right', fontsize=8)
|
||||
|
||||
# Right: Pareto chart with cumulative line
|
||||
x = range(len(top10))
|
||||
ax2.bar(x, top10['VANZARI'], color=CHART_COLORS['primary'], alpha=0.85,
|
||||
edgecolor='white', linewidth=0.5)
|
||||
|
||||
# Cumulative line on secondary axis
|
||||
ax2_twin = ax2.twinx()
|
||||
ax2_twin.plot(range(len(top10)), top10['PROCENT_CUMULAT'], 'r-o', linewidth=2)
|
||||
ax2_twin.axhline(y=80, color='green', linestyle='--', alpha=0.5, label='80%')
|
||||
ax2_twin.plot(x, top10['PROCENT_CUMULAT'], color=CHART_COLORS['accent'],
|
||||
linewidth=2, marker='o', markersize=4)
|
||||
ax2_twin.axhline(y=80, color=CHART_COLORS['positive'], linestyle='--',
|
||||
alpha=0.7, linewidth=1.5, label='Prag 80%')
|
||||
|
||||
ax2.set_xticks(range(len(top10)))
|
||||
ax2.set_xticklabels([c[:15] for c in top10['CLIENT']], rotation=45, ha='right', fontsize=8)
|
||||
ax2.set_ylabel('Vânzări (RON)')
|
||||
ax2_twin.set_ylabel('% Cumulat')
|
||||
ax2.set_title('Analiză Pareto Clienți')
|
||||
ax2.set_xticks(x)
|
||||
ax2.set_xticklabels([c[:12] for c in top10['CLIENT']], rotation=45, ha='right', fontsize=8)
|
||||
ax2.set_ylabel('Vanzari (RON)', fontsize=10)
|
||||
ax2.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
ax2_twin.set_ylabel('% Cumulat', fontsize=10, color=CHART_COLORS['accent'])
|
||||
ax2_twin.set_ylim(0, 105)
|
||||
ax2.set_title('Analiza Pareto - Concentrare Clienti', fontsize=11, fontweight='bold')
|
||||
ax2_twin.legend(loc='center right', fontsize=8)
|
||||
|
||||
plt.tight_layout()
|
||||
return fig
|
||||
|
||||
|
||||
def create_production_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
"""Create production vs resale comparison chart"""
|
||||
"""Create production vs resale comparison chart - modern minimalist style"""
|
||||
setup_chart_style()
|
||||
if df is None or df.empty:
|
||||
fig, ax = plt.subplots(figsize=(10, 6))
|
||||
ax.text(0.5, 0.5, 'Nu există date', ha='center', va='center')
|
||||
fig, ax = plt.subplots(figsize=(10, 5))
|
||||
ax.text(0.5, 0.5, 'Nu exista date', ha='center', va='center')
|
||||
return fig
|
||||
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))
|
||||
|
||||
# Bar chart - Sales by type
|
||||
x = range(len(df))
|
||||
ax1.bar(x, df['VANZARI_FARA_TVA'], color=['#366092', '#e74c3c', '#2ecc71'][:len(df)])
|
||||
|
||||
# Left: Sales by type (two-color scheme: primary + secondary)
|
||||
bar_colors = [CHART_COLORS['primary'], CHART_COLORS['secondary']][:len(df)]
|
||||
if len(df) > 2:
|
||||
bar_colors = [CHART_COLORS['primary']] * len(df)
|
||||
|
||||
bars = ax1.bar(x, df['VANZARI_FARA_TVA'], color=bar_colors, alpha=0.85,
|
||||
edgecolor='white', linewidth=0.5)
|
||||
ax1.set_xticks(x)
|
||||
ax1.set_xticklabels(df['TIP_PRODUS'], rotation=15)
|
||||
ax1.set_ylabel('Vânzări (RON)')
|
||||
ax1.set_title('Vânzări per Tip Produs')
|
||||
ax1.set_xticklabels(df['TIP_PRODUS'], rotation=15, fontsize=9)
|
||||
ax1.set_ylabel('Vanzari (RON)', fontsize=10)
|
||||
ax1.set_title('Vanzari per Tip Produs', fontsize=11, fontweight='bold')
|
||||
ax1.yaxis.set_major_formatter(ticker.FuncFormatter(lambda x, p: f'{x/1000:,.0f}k'))
|
||||
|
||||
# Bar chart - Margin %
|
||||
colors = ['#2ecc71' if m > 20 else '#e67e22' if m > 15 else '#e74c3c' for m in df['PROCENT_MARJA']]
|
||||
ax2.bar(x, df['PROCENT_MARJA'], color=colors)
|
||||
# Add value labels
|
||||
for bar in bars:
|
||||
height = bar.get_height()
|
||||
ax1.text(bar.get_x() + bar.get_width()/2., height,
|
||||
f'{height/1000:,.0f}k', ha='center', va='bottom', fontsize=9, color='#555')
|
||||
|
||||
# Right: Margin % with color-coded status
|
||||
colors = [CHART_COLORS['positive'] if m > 20 else CHART_COLORS['secondary'] if m > 15
|
||||
else CHART_COLORS['accent'] for m in df['PROCENT_MARJA']]
|
||||
bars2 = ax2.bar(x, df['PROCENT_MARJA'], color=colors, alpha=0.85,
|
||||
edgecolor='white', linewidth=0.5)
|
||||
ax2.set_xticks(x)
|
||||
ax2.set_xticklabels(df['TIP_PRODUS'], rotation=15)
|
||||
ax2.set_ylabel('Marjă (%)')
|
||||
ax2.set_title('Marjă per Tip Produs')
|
||||
ax2.axhline(y=15, color='red', linestyle='--', alpha=0.5, label='Prag minim 15%')
|
||||
ax2.legend()
|
||||
ax2.set_xticklabels(df['TIP_PRODUS'], rotation=15, fontsize=9)
|
||||
ax2.set_ylabel('Marja (%)', fontsize=10)
|
||||
ax2.set_title('Marja per Tip Produs', fontsize=11, fontweight='bold')
|
||||
ax2.axhline(y=15, color=CHART_COLORS['accent'], linestyle='--', alpha=0.7,
|
||||
linewidth=1.5, label='Prag minim 15%')
|
||||
ax2.legend(loc='upper right', fontsize=8)
|
||||
|
||||
# Add value labels
|
||||
for bar, val in zip(bars2, df['PROCENT_MARJA']):
|
||||
ax2.text(bar.get_x() + bar.get_width()/2., bar.get_height(),
|
||||
f'{val:.1f}%', ha='center', va='bottom', fontsize=9, color='#555')
|
||||
|
||||
plt.tight_layout()
|
||||
return fig
|
||||
|
||||
|
||||
def create_cash_cycle_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
"""Create cash conversion cycle visualization"""
|
||||
"""Create cash conversion cycle visualization - modern minimalist style"""
|
||||
setup_chart_style()
|
||||
if df is None or df.empty:
|
||||
fig, ax = plt.subplots(figsize=(10, 6))
|
||||
fig, ax = plt.subplots(figsize=(10, 5))
|
||||
ax.text(0.5, 0.5, 'Nu exista date', ha='center', va='center')
|
||||
return fig
|
||||
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 6))
|
||||
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))
|
||||
|
||||
# Extract values
|
||||
indicators = df['INDICATOR'].tolist() if 'INDICATOR' in df.columns else []
|
||||
@@ -951,12 +1150,12 @@ def create_cash_cycle_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
ax2.text(0.5, 0.5, 'Date incomplete', ha='center', va='center')
|
||||
return fig
|
||||
|
||||
# Colors for each component
|
||||
# Simplified color scheme
|
||||
colors_map = {
|
||||
'DIO': '#3498db', # Blue for inventory
|
||||
'DSO': '#e74c3c', # Red for receivables
|
||||
'DPO': '#2ecc71', # Green for payables
|
||||
'CCC': '#9b59b6' # Purple for total cycle
|
||||
'DIO': CHART_COLORS['primary'], # Dark blue for inventory
|
||||
'DSO': CHART_COLORS['secondary'], # Gray for receivables
|
||||
'DPO': CHART_COLORS['positive'], # Green for payables (reduces cycle)
|
||||
'CCC': CHART_COLORS['accent'] # Red for total cycle result
|
||||
}
|
||||
|
||||
bar_colors = []
|
||||
@@ -966,59 +1165,64 @@ def create_cash_cycle_chart(df: pd.DataFrame) -> plt.Figure:
|
||||
bar_colors.append(color)
|
||||
break
|
||||
else:
|
||||
bar_colors.append('#95a5a6')
|
||||
bar_colors.append(CHART_COLORS['secondary'])
|
||||
|
||||
# Bar chart
|
||||
# Left: Component bars
|
||||
x = range(len(indicators))
|
||||
bars = ax1.bar(x, zile, color=bar_colors, alpha=0.8)
|
||||
bars = ax1.bar(x, zile, color=bar_colors, alpha=0.85, edgecolor='white', linewidth=0.5)
|
||||
ax1.set_xticks(x)
|
||||
ax1.set_xticklabels([ind[:20] for ind in indicators], rotation=45, ha='right', fontsize=9)
|
||||
ax1.set_ylabel('Zile')
|
||||
ax1.set_title('Ciclu Conversie Cash - Componente')
|
||||
ax1.set_ylabel('Zile', fontsize=10)
|
||||
ax1.set_title('Ciclu Conversie Cash - Componente', fontsize=11, fontweight='bold')
|
||||
|
||||
# Add value labels on bars
|
||||
# Add value labels
|
||||
for bar, val in zip(bars, zile):
|
||||
height = bar.get_height()
|
||||
ax1.text(bar.get_x() + bar.get_width()/2., height,
|
||||
f'{int(val)}',
|
||||
ha='center', va='bottom', fontsize=10, fontweight='bold')
|
||||
ax1.text(bar.get_x() + bar.get_width()/2., bar.get_height(),
|
||||
f'{int(val)}', ha='center', va='bottom', fontsize=10, fontweight='bold', color='#555')
|
||||
|
||||
# Waterfall-style visualization
|
||||
# DIO + DSO - DPO = CCC
|
||||
# Right: Formula visualization
|
||||
dio = next((z for i, z in zip(indicators, zile) if 'DIO' in i.upper()), 0)
|
||||
dso = next((z for i, z in zip(indicators, zile) if 'DSO' in i.upper() and 'DIO' not in i.upper()), 0)
|
||||
dpo = next((z for i, z in zip(indicators, zile) if 'DPO' in i.upper()), 0)
|
||||
ccc = dio + dso - dpo
|
||||
|
||||
waterfall_labels = ['DIO\n(Zile Stoc)', 'DSO\n(Zile Incasare)', 'DPO\n(Zile Plata)', 'CCC\n(Ciclu Total)']
|
||||
waterfall_values = [dio, dso, -dpo, ccc]
|
||||
waterfall_colors = ['#3498db', '#e74c3c', '#2ecc71', '#9b59b6']
|
||||
|
||||
# Calculate positions for waterfall
|
||||
cumulative = [0]
|
||||
for i, v in enumerate(waterfall_values[:-1]):
|
||||
cumulative.append(cumulative[-1] + v)
|
||||
|
||||
ax2.bar([0, 1, 2], [dio, dso, dpo], color=['#3498db', '#e74c3c', '#2ecc71'], alpha=0.8)
|
||||
ax2.axhline(y=ccc, color='#9b59b6', linewidth=3, linestyle='--', label=f'CCC = {int(ccc)} zile')
|
||||
bars2 = ax2.bar([0, 1, 2], [dio, dso, dpo],
|
||||
color=[CHART_COLORS['primary'], CHART_COLORS['secondary'], CHART_COLORS['positive']],
|
||||
alpha=0.85, edgecolor='white', linewidth=0.5)
|
||||
|
||||
# CCC result line with color based on health
|
||||
if ccc > 60:
|
||||
ccc_color = CHART_COLORS['accent']
|
||||
elif ccc > 30:
|
||||
ccc_color = CHART_COLORS['secondary']
|
||||
else:
|
||||
ccc_color = CHART_COLORS['positive']
|
||||
|
||||
ax2.axhline(y=ccc, color=ccc_color, linewidth=3, linestyle='--',
|
||||
label=f'CCC = {int(ccc)} zile')
|
||||
ax2.set_xticks([0, 1, 2])
|
||||
ax2.set_xticklabels(['DIO\n(+Stoc)', 'DSO\n(+Incasare)', 'DPO\n(-Plata)'], fontsize=9)
|
||||
ax2.set_ylabel('Zile')
|
||||
ax2.set_title('Formula: DIO + DSO - DPO = CCC')
|
||||
ax2.legend(loc='upper right')
|
||||
ax2.set_ylabel('Zile', fontsize=10)
|
||||
ax2.set_title('Formula: DIO + DSO - DPO = CCC', fontsize=11, fontweight='bold')
|
||||
ax2.legend(loc='upper right', fontsize=9)
|
||||
|
||||
# Add value labels
|
||||
for bar, val in zip(bars2, [dio, dso, dpo]):
|
||||
ax2.text(bar.get_x() + bar.get_width()/2., bar.get_height(),
|
||||
f'{int(val)}', ha='center', va='bottom', fontsize=10, fontweight='bold', color='#555')
|
||||
|
||||
# Add annotation explaining the result
|
||||
# Status annotation
|
||||
if ccc > 60:
|
||||
verdict = "Ciclu lung - capital blocat mult timp"
|
||||
verdict_color = '#c0392b'
|
||||
verdict_color = CHART_COLORS['accent']
|
||||
elif ccc > 30:
|
||||
verdict = "Ciclu moderat - poate fi optimizat"
|
||||
verdict_color = '#d68910'
|
||||
verdict_color = CHART_COLORS['secondary']
|
||||
else:
|
||||
verdict = "Ciclu eficient - capital rotit rapid"
|
||||
verdict_color = '#27ae60'
|
||||
verdict_color = CHART_COLORS['positive']
|
||||
|
||||
ax2.text(0.5, -0.15, verdict, transform=ax2.transAxes,
|
||||
ax2.text(0.5, -0.18, verdict, transform=ax2.transAxes,
|
||||
ha='center', fontsize=10, color=verdict_color, fontweight='bold')
|
||||
|
||||
plt.tight_layout()
|
||||
|
||||
Reference in New Issue
Block a user